The use of vibroacoustic methods in technical state assessment of mechanical objects is very popular. This fact can be explain by inexpensive acquisition and data collection devices, modern and most efficient signal analysis algorithms, faster computers and signal processing, etc. But in spite of technological advance, the signal selection problem is still permanently unsolved. The paper includes a methodology of vibration signal selection for diesel engine elementary process diagnostics based on OFRA (Operational Frequency Response Analysis) algorithm and auto-excitation of tested machine. Authors propose a new diagnostics method for assessment engine technical state, which is distinguished by high efficiency, fast and easy to use in normal engine operation.
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